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中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
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matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
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将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
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matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures
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applied k means clustering for vector quanta and
used huffman for image compression matlab code
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该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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基于matlab的图像K均值聚类算法程序-Matlab image K-means clustering algorithm
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Clustering is a way to separate groups of objects. K-means clustering treats each object as having a location in space. It finds partitions such that objects within each cluster are as close to each other as possible, and as far from objects in other
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matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
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image segmentation using k-means partitional clustering algorithm, matlab code
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此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。
-This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
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基于K均值的PSO聚类算法,从先验概率中采样，计算权重，在MATLAB中求图像纹理特征。- K-means clustering algorithm based on the PSO, Sampling a priori probability, calculate the weight, In the MATLAB image texture feature.
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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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基于K均值的PSO聚类算法,在matlab环境中自动识别连通区域的大小,在MATLAB中求图像纹理特征。- K-means clustering algorithm based on the PSO, Automatic identification in the matlab environment the size of the connected area, In the MATLAB image texture feature.
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基于K均值的PSO聚类算法,基于matlab平台实现,计算十字叉丝的在不同距离的衍射图像。- K-means clustering algorithm based on the PSO, Based on matlab platform, Calculation crosshairs diffraction image at different distances.
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Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
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Complete class-based image processing, contains all of the source code, auto image, K-means clustering algorithm based on the PSO, When processing a signal frequency analysis.
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knn image recognition for matlab code
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Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c
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